1 to 2 of 2 Permanent Exploratory Analysis Jobs in England

the Data Science & Advanced Analytics team. Leads on the development and implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative … strategic vision. Experience of mentoring and leading the professional development of Data Scientists or analysts, ensuring compliance with relevant standards. Desirable Experienced in the analysis and interpretation of health or NHS related statistics. Experience of loss/fraud analytics Experience of contributing towards a Data community. Qualifications Essential A … first- or second-class honours degree level qualification in a numerate discipline, computer science or an equivalent subject requiring very high levels of statistical analysis Desirable Master's Degree with Computer Science, Data Science, Mathematics or Statistics, or a subject requiring very high levels of statistical analysis Evidence more »

Geospatial Data Scientist, you will lead the development of geospatial solutions to solve complex problems across business functions, leveraging your expertise in geospatial data analysis, machine learning and statistical modelling You will contribute to the development of insurance products & services. Your focus: Lead the design, development, and implementation of … models to extract insight from large geospatial datasets. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. Conduct exploratory analysis and feature engineering to extract relevant information from geospatial datasets. Develop predictive machine learning models, evaluate model performance, iterate model improvements to … sciences, Geographical information systems (GIS), Remote Sensing, Computer Science or related field. Experience working in the financial services industry. Proven experience in geospatial data analysis, including geospatial data manipulation, spatial statistics and visualisation. Strong programming skills in languages such as Python, R, or Java, with experience in geospatial libraries more »